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Head of Data Science

Harnham

Greater London

On-site

GBP 100,000 - 140,000

Full time

22 days ago

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Job summary

An established industry player is seeking a Head of Data Science to lead innovative modeling efforts. This pivotal role involves developing credit risk and fraud prevention models using SQL and Python, while collaborating with senior stakeholders to define the data science strategy. The ideal candidate will have a strong background in unsecured consumer lending and a STEM degree from a top university. Join a dynamic team where your expertise will drive efficiency and enhance decision-making processes across the organization. This is an exciting opportunity to make a significant impact in a forward-thinking environment.

Qualifications

  • Strong experience in SQL and Python for data science applications.
  • Experience in developing credit risk and scorecard models.

Responsibilities

  • Developing models for credit risk decisioning and customer analytics.
  • Setting the data science roadmap and improving automation.

Skills

SQL
Python
Credit risk modeling
Fraud prevention
Customer analytics
Stakeholder management

Education

STEM Degree

Tools

Snowflake

Job description

Head of Data Science

Location: London

Employment Type: Full-time

Salary: Up to £140,000

The Role:
  • Developing new models for Credit risk decisioning/developing scorecard models using SQL, Python, and Snowflake
  • Developing models for fraud prevention and models for customer analytics
  • Working with senior stakeholders across different areas of the business being able to manage both down and up
  • Setting out the data science and modelling roadmap for the business
  • Improving efficiency with the development of automation across the business.
Your Skills & Experience:
  • Experience with Unsecured consumer lending
  • Strong experience using SQL and Python across your career
  • Experience owning and developing credit risk models
  • Experience developing scorecards and decisioning models
  • STEM Degree from a top University
Seniority Level:

Mid-Senior level

Job Function:

Analyst

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